Remote Data Engineer (Databricks)

Description:

• Design, develop, and maintain scalable data pipelines using Databricks and other relevant technologies.
• Integrate data from various sources, ensuring data quality, consistency, and reliability.
• Implement and manage ETL (Extract, Transform, Load) processes to support data warehousing and analytics.
• Optimize and tune data processing jobs for performance and efficiency.
• Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions.
• Ensure compliance with data governance and security policies.
• Maintain clear and comprehensive documentation of data processes, workflows, and systems.

Requirements:

• Experience with Databricks.
• 5+ years in Data Engineering.
• Proficiency in Python and SQL.
• Strong understanding of data engineering principles and best practices.
• Familiarity with cloud-based platforms (Azure/AWS/GCP).
• Excellent technical advisory and guidance skills.
• Ability to work collaboratively with clients and internal teams.
• Strong communication and problem-solving skills.

Benefits:

• Full-time remote position.
• Opportunity to work with a dynamic team in a leading AI client.
• Chance to contribute to building and maintaining robust data pipelines and analytics infrastructure.
• Collaborate with data scientists, analysts, and stakeholders to deliver data solutions.
• Ensure compliance with data governance and security policies.
• Competitive salary and benefits package.